Eye tracking is a promising technology for a more seamless VR experience, e.g. for providing active input or passive intent/focus analysis with many applications in gaming, healthcare, and research. Future foveated and varifocal displays will also benefit from accurate and fast eye-tracking.
Student project: Cognition and state estimation in Virtual / Augmented reality
What you will do
Imec has recently developed an eye tracking technology based on electrooculography (EOG) and electromyography (EMG) in which the eye’s gaze point is derived from
measured skin potentials at five points around the eyes with the advantage of being cheaper and faster compared to camera-based solutions. The solution can also be used to measure subject’s facial expression. Your task is to integrate and evaluate, together with researchers from imec EOG eye-tracking in VR-goggles, facial expression recognition, balancing signal quality and creating prediction models. In addition, you will also evaluate wearing comfort using state of the art digital head models.
For more information, visit:
- Protocol preparation and data collection experiments for eyes-tracking and facial expression recognition.
- Signal quality estimation for estimating performance of the wearable in different use-case scenarios.
- Creating supervised learning models to predict eye-activity and facial expressions.
- Provide inputs on design modifications and algorithm implementations.
- Documenting the research findings as technical notes or memos.
What we do for you
By joining the Wearable Health Solutions team in Eindhoven, you will be part of a team of disruptive innovators and thinkers. Together, with our Researchers and Engineers, you will work on wireless and wearable healthcare applications that empower people to manage their own health. We invite you to be part of our ambitious team where your ideas will have an impact on our society and our future lives.
Who you are
- MSc student in Biomedical / Electrical engineering or other similar fields.
- You are available for a period of 6-9 months.
- You have adequate programming skills (i.e. Matlab / Python). Knowledge of C++ is a plus.
- Knowledge of signal processing and machine learning techniques is a plus.
- Knowledge of human physiology is a plus.
- Eligible to do an internship in the Netherlands.
- Motivated student eager to work independently and expand knowledge in the field.
- Good written and verbal English skills.
Click on “apply” to submit your application. You will then be redirected to e-recruiting.
Please be advised that non-EU/EEA country students that are studying outside of the Netherlands, need to have a work-permit to be able to do an internship in the Netherlands.